| Maximum likelihood estimation JX Pan, KT Fang, JX Pan, KT Fang Growth curve models and statistical diagnostics, 77-158, 2002 | 285 | 2002 |
| Growth curve models and statistical diagnostics J Pan, K Fang Springer, 2002 | 230 | 2002 |
| On modelling mean‐covariance structures in longitudinal studies J Pan, G Mackenzie Biometrika 90 (1), 239-244, 2003 | 226 | 2003 |
| High arsenic in rice is associated with elevated genotoxic effects in humans M Banerjee, N Banerjee, P Bhattacharjee, D Mondal, PR Lythgoe, ... Scientific reports 3 (1), 2195, 2013 | 214 | 2013 |
| Modelling covariance structures in generalized estimating equations for longitudinal data H Ye, J Pan Proceedings of the 19th International Workshop of Statistical Modelling, 244-48, 2004 | 145 | 2004 |
| Semiparametric mean–covariance regression analysis for longitudinal data C Leng, W Zhang, J Pan Journal of the American Statistical Association 105 (489), 181-193, 2010 | 112 | 2010 |
| A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects X Huang, G Li, RM Elashoff, J Pan Lifetime data analysis 17, 80-100, 2011 | 93 | 2011 |
| Multiple outlier detection in multivariate data using projection pursuit techniques JX Pan, WK Fung, KT Fang Journal of Statistical Planning and Inference 83 (1), 153-167, 2000 | 80 | 2000 |
| Uniform designs based on Latin squares KT Fang, WC Shiu, JX Pan Statistica Sinica, 905-912, 1999 | 73 | 1999 |
| Tuning model parameters in class‐imbalanced learning with precision‐recall curve GH Fu, LZ Yi, J Pan Biometrical Journal 61 (3), 652-664, 2019 | 62 | 2019 |
| Regression models for covariance structures in longitudinal studies J Pan, G MacKenzie Statistical Modelling 6 (1), 43-57, 2006 | 57 | 2006 |
| Quasi-Monte Carlo estimation in generalized linear mixed models J Pan, R Thompson Proceedings of the 19th international workshop on statistical modelling, 239-243, 2004 | 50 | 2004 |
| Gauss-Hermite quadrature approximation for estimation in generalised linear mixed models J Pan, R Thompson Computational statistics 18, 57-78, 2003 | 46 | 2003 |
| A deterministic and stochastic model for the system dynamics of tumor–immune responses to chemotherapy X Liu, Q Li, J Pan Physica A: Statistical Mechanics and its Applications 500, 162-176, 2018 | 44 | 2018 |
| Variable selection in general frailty models using penalized h-likelihood ID Ha, J Pan, S Oh, Y Lee Journal of Computational and Graphical Statistics 23 (4), 1044-1060, 2014 | 44 | 2014 |
| Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data GH Fu, YJ Wu, MJ Zong, J Pan BMC bioinformatics 21, 1-14, 2020 | 40 | 2020 |
| Covariance structure regularization via entropy loss function L Lin, NJ Higham, J Pan Computational Statistics & Data Analysis 72, 315-327, 2014 | 40 | 2014 |
| Random effects selection in generalized linear mixed models via shrinkage penalty function J Pan, C Huang Statistics and Computing 24, 725-738, 2014 | 37 | 2014 |
| Modelling conditional covariance in the linear mixed model J Pan, G MacKenzie Statistical Modelling 7 (1), 49-71, 2007 | 33 | 2007 |
| Local influence assessment in the growth curve model with unstructured covariance JX Pan, KT Fang, D von Rosen Journal of Statistical Planning and Inference 62 (2), 263-278, 1997 | 30 | 1997 |
